Scalable multi-label annotation
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - scholar.archive.org
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - www-cs.stanford.edu
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - ww.acberg.com
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - wayback.stanford.edu
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - m.acberg.com
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - acberg.com
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
Scalable multi-label annotation
J Deng, O Russakovsky, J Krause… - 32nd Annual ACM …, 2014 - collaborate.princeton.edu
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - acberg.com
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …
[PDF][PDF] Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg… - cs.princeton.edu
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple
labels from humans for a collection of items. We propose an algorithm that exploits …
labels from humans for a collection of items. We propose an algorithm that exploits …